Estudo epidemiológico sobre a saúde de estudantes universitários

Os factores de risco nos adultos jovens são fortes preditores da incidência de doença cardiovascular e mortalidade na idade mais avançada. Em Portugal, desconhecem-se estudos que avaliem os factores de risco para as doenças crónicas, em jovens adultos, na transição do ensino secundário para o universitário. Este estudo pretendeu contribuir para a promoção do conhecimento dos determinantes sócioculturais e ambientais no diagnóstico e detecção de factores de risco para as doenças crónicas, nomeadamente as doenças cardiovasculares, em estudantes universitários. Teve como objectivo principal a investigação do efeito da vida académica nos factores de risco modificáveis, estilos de vida e determinantes da saúde. Teve como objectivos específicos identificar a(s) prevalência(s) dos factores de risco cardiovascular numa população universitária, a identificação dos intervalos de referência para a homocisteína total no soro de adultos jovens portugueses, a determinação do perfil lípidico, comportamentos de saúde e dieta alimentar de tipo mediterrânico entre os estudantes universitários de acordo com o género e a área científica de frequência e a avaliação longitudinal do impacto da exposição à vida académica no estado de saúde dos estudantes universitários Participaram no estudo 781 estudantes sendo a média de idades de 20,6. Os factores de risco estudados para as doenças crónicas, foram o hábito tabágico, a pressão arterial, o índice de massa corporal, a composição do sangue (lípidos, homocisteina e glicose), a alimentação e a actividade física. O estudo mostra que a prevalência de: sedentarismo é significativamente mais elevada nos rapazes (p<0,001); dislipidemia e a hipertrigliceridemia é significativamente mais elevada nas raparigas. Mais de um quarto dos estudantes tem colesterol elevado sendo a hipercolesterolemia significativamente mais elevada nas raparigas (p<0,001); a hipertensão verificou-se em ambos os sexos (6,0%) mas foi significativamente mais elevada nos rapazes (p=0,001). O estudo identificou o intervalo de referência para a homocisteína em adultos jovens portugueses independentemente do sexo (6,2 a 11,6 μmol/) sendo que, acima de 11,6 μmol/l é condição para vigilância médica em populações jovens adultas. Quando se estudou a exposição à vida académica comparada com aqueles que acabaram de entrar na universidade, verificou-se uma associação significativa no que respeita às concentrações de lípidos no sangue, à pressão arterial sistólica e à actividade física, tendo sido as raparigas aquelas que mais se afastavam dos padrões saudáveis (p<0,001). No que respeita à adesão à dieta mediterranica, não foram encontradas associações entre este tipo de alimentação e os vários factores de risco independentemente do género. Os resultados forneceram, evidências empíricas acerca da importância da detecção dos principais factores de risco na idade adulta (jovem) na prevenção das doenças cardiovasculares e vieram corroborar as orientações do Plano de Desenvolvimento Estratégico do Instituto Nacional de Saúde Português para as doenças crónicas, nomeadamente o estabelecimento de valores de referência nacionais para análises biológicas e as orientações do Plano de Acção Estratégica Global para a Prevenção e Controle das Doenças Não-Transmissíveis-2008/2013 da Organização Mundial de Saúde.

Contribution of biomass combustion to air pollutant emissions

In Portugal, it was estimated that around 1.95 Mton/year of wood is used in residential wood burning for heating and cooking. Additionally, in the last decades, burnt forest area has also been increasing. These combustions result in high levels of toxic air pollutants and a large perturbation of atmospheric chemistry, interfere with climate and have adverse effects on health. Accurate quantification of the amounts of trace gases and particulate matter emitted from residential wood burning, agriculture and garden waste burning and forest fires on a regional and global basis is essential for various purposes, including: the investigation of several atmospheric processes, the reporting of greenhouse gas emissions, and quantification of the air pollution sources that affect human health at regional scales. In Southern Europe, data on detailed emission factors from biomass burning are rather inexistent. Emission inventories and source apportionment, photochemical and climate change models use default values obtained for US and Northern Europe biofuels. Thus, it is desirable to use more specific locally available data. The objective of this study is to characterise and quantify the contribution of biomass combustion sources to atmospheric trace gases and aerosol concentrations more representative of the national reality. Laboratory (residential wood combustion) and field (agriculture/garden waste burning and experimental wildland fires) sampling experiments were carried out. In the laboratory, after the selection of the most representative wood species and combustion equipment in Portugal, a sampling program to determine gaseous and particulate matter emission rates was set up, including organic and inorganic aerosol composition. In the field, the smoke plumes from agriculture/garden waste and experimental wildland fires were sampled. The results of this study show that the combustion equipment and biofuel type used have an important role in the emission levels and composition. Significant differences between the use of traditional combustion equipment versus modern equipments were also observed. These differences are due to higher combustion efficiency of modern equipment, reflecting the smallest amount of particulate matter, organic carbon and carbon monoxide released. With regard to experimental wildland fires in shrub dominated areas, it was observed that the largest organic fraction in the samples studied was mainly composed by vegetation pyrolysis products. The major organic components in the smoke samples were pyrolysates of vegetation cuticles, mainly comprising steradienes and sterol derivatives, carbohydrates from the breakdown of cellulose, aliphatic lipids from vegetation waxes and methoxyphenols from the lignin thermal degradation. Despite being a banned practice in our country, agriculture/garden waste burning is actually quite common. To assess the particulate matter composition, the smoke from three different agriculture/garden residues have been sampled into 3 different size fractions (PM2.5, PM2.5-10 and PM>10). Despite distribution patterns of organic compounds in particulate matter varied among residues, the amounts of phenolics (polyphenol and guaiacyl derivatives) and organic acids were always predominant over other organic compounds in the organosoluble fraction of smoke. Among biomarkers, levoglucosan, β-sitosterol and phytol were detected in appreciable amounts in the smoke of all agriculture/garden residues. In addition, inositol may be considered as an eventual tracer for the smoke from potato haulm burning. It was shown that the prevailing ambient conditions (such as high humidity in the atmosphere) likely contributed to atmospheric processes (e.g. coagulation and hygroscopic growth), which influenced the particle size characteristics of the smoke tracers, shifting their distribution to larger diameters. An assessment of household biomass consumption was also made through a national scale survey. The information obtained with the survey combined with the databases on emission factors from the laboratory and field tests allowed us to estimate the pollutant amounts emitted in each Portuguese district. In addition to a likely contribution to the improvement of emission inventories, emission factors obtained for tracer compounds in this study can be applied in receptor models to assess the contribution of biomass burning to the levels of atmospheric aerosols and their constituents obtained in monitoring campaigns in Mediterranean Europe.

Pregnancy and newborns disorders followed by urine metabolomics

Chapter 1 introduces the scope of the work by identifying the clinically relevant prenatal disorders and presently available diagnostic methods. The methodology followed in this work is presented, along with a brief account of the principles of the analytical and statistical tools employed. A thorough description of the state of the art of metabolomics in prenatal research concludes the chapter, highlighting the merit of this novel strategy to identify robust disease biomarkers. The scarce use of maternal and newborn urine in previous reports enlightens the relevance of this work. Chapter 2 presents a description of all the experimental details involved in the work performed, comprising sampling, sample collection and preparation issues, data acquisition protocols and data analysis procedures. The proton Nuclear Magnetic Resonance (NMR) characterization of maternal urine composition in healthy pregnancies is presented in Chapter 3. The urinary metabolic profile characteristic of each pregnancy trimester was defined and a 21-metabolite signature found descriptive of the metabolic adaptations occurring throughout pregnancy. 8 metabolites were found, for the first time to our knowledge, to vary in connection to pregnancy, while known metabolic effects were confirmed. This chapter includes a study of the effects of non-fasting (used in this work) as a possible confounder. Chapter 4 describes the metabolomic study of 2nd trimester maternal urine for the diagnosis of fetal disorders and prediction of later-developing complications. This was achieved by applying a novel variable selection method developed in the context of this work. It was found that fetal malformations (FM) (and, specifically those of the central nervous system, CNS) and chromosomal disorders (CD) (and, specifically, trisomy 21, T21) are accompanied by changes in energy, amino acids, lipids and nucleotides metabolic pathways, with CD causing a further deregulation in sugars metabolism, urea cycle and/or creatinine biosynthesis. Multivariate analysis models´ validation revealed classification rates (CR) of 84% for FM (87%, CNS) and 85% for CD (94%, T21). For later-diagnosed preterm delivery (PTD), preeclampsia (PE) and intrauterine growth restriction (IUGR), it is found that urinary NMR profiles have early predictive value, with CRs ranging from 84% for PTD (11-20 gestational weeks, g.w., prior to diagnosis), 94% for PE (18-24 g.w. pre-diagnosis) and 94% for IUGR (2-22 g.w. pre-diagnosis). This chapter includes results obtained for an ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) study of pre-PTD samples and correlation with NMR data. One possible marker was detected, although its identification was not possible. Chapter 5 relates to the NMR metabolomic study of gestational diabetes mellitus (GDM), establishing a potentially predictive urinary metabolic profile for GDM, 2-21 g.w. prior to diagnosis (CR 83%). Furthermore, the NMR spectrum was shown to carry information on individual phenotypes, able to predict future insulin treatment requirement (CR 94%). Chapter 6 describes results that demonstrate the impact of delivery mode (CR 88%) and gender (CR 76%) on newborn urinary profile. It was also found that newborn prematurity, respiratory depression, large for gestational age growth and malformations induce relevant metabolic perturbations (CR 82-92%), as well as maternal conditions, namely GDM (CR 82%) and maternal psychiatric disorders (CR 91%). Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the value of maternal or newborn urine metabolomics for pregnancy monitoring and disease prediction, towards the development of new early and non-invasive diagnostic methods.

Metabolic signature of lung cancer: a metabolomic study of human tissues and biofluids

This thesis reports the application of metabolomics to human tissues and biofluids (blood plasma and urine) to unveil the metabolic signature of primary lung cancer. In Chapter 1, a brief introduction on lung cancer epidemiology and pathogenesis, together with a review of the main metabolic dysregulations known to be associated with cancer, is presented. The metabolomics approach is also described, addressing the analytical and statistical methods employed, as well as the current state of the art on its application to clinical lung cancer studies. Chapter 2 provides the experimental details of this work, in regard to the subjects enrolled, sample collection and analysis, and data processing. In Chapter 3, the metabolic characterization of intact lung tissues (from 56 patients) by proton High Resolution Magic Angle Spinning (HRMAS) Nuclear Magnetic Resonance (NMR) spectroscopy is described. After careful assessment of acquisition conditions and thorough spectral assignment (over 50 metabolites identified), the metabolic profiles of tumour and adjacent control tissues were compared through multivariate analysis. The two tissue classes could be discriminated with 97% accuracy, with 13 metabolites significantly accounting for this discrimination: glucose and acetate (depleted in tumours), together with lactate, alanine, glutamate, GSH, taurine, creatine, phosphocholine, glycerophosphocholine, phosphoethanolamine, uracil nucleotides and peptides (increased in tumours). Some of these variations corroborated typical features of cancer metabolism (e.g., upregulated glycolysis and glutaminolysis), while others suggested less known pathways (e.g., antioxidant protection, protein degradation) to play important roles. Another major and novel finding described in this chapter was the dependence of this metabolic signature on tumour histological subtype. While main alterations in adenocarcinomas (AdC) related to phospholipid and protein metabolisms, squamous cell carcinomas (SqCC) were found to have stronger glycolytic and glutaminolytic profiles, making it possible to build a valid classification model to discriminate these two subtypes. Chapter 4 reports the NMR metabolomic study of blood plasma from over 100 patients and near 100 healthy controls, the multivariate model built having afforded a classification rate of 87%. The two groups were found to differ significantly in the levels of lactate, pyruvate, acetoacetate, LDL+VLDL lipoproteins and glycoproteins (increased in patients), together with glutamine, histidine, valine, methanol, HDL lipoproteins and two unassigned compounds (decreased in patients). Interestingly, these variations were detected from initial disease stages and the magnitude of some of them depended on the histological type, although not allowing AdC vs. SqCC discrimination. Moreover, it is shown in this chapter that age mismatch between control and cancer groups could not be ruled out as a possible confounding factor, and exploratory external validation afforded a classification rate of 85%. The NMR profiling of urine from lung cancer patients and healthy controls is presented in Chapter 5. Compared to plasma, the classification model built with urinary profiles resulted in a superior classification rate (97%). After careful assessment of possible bias from gender, age and smoking habits, a set of 19 metabolites was proposed to be cancer-related (out of which 3 were unknowns and 6 were partially identified as N-acetylated metabolites). As for plasma, these variations were detected regardless of disease stage and showed some dependency on histological subtype, the AdC vs. SqCC model built showing modest predictive power. In addition, preliminary external validation of the urine-based classification model afforded 100% sensitivity and 90% specificity, which are exciting results in terms of potential for future clinical application. Chapter 6 describes the analysis of urine from a subset of patients by a different profiling technique, namely, Ultra-Performance Liquid Chromatography coupled to Mass Spectrometry (UPLC-MS). Although the identification of discriminant metabolites was very limited, multivariate models showed high classification rate and predictive power, thus reinforcing the value of urine in the context of lung cancer diagnosis. Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the potential of integrated metabolomics of tissues and biofluids to improve current understanding of lung cancer altered metabolism and to reveal new marker profiles with diagnostic value.

Degradação do perfil bioquímico de um concentrado de Nannochloropsis sp. durante o seu período de validade

As algas do género Nannochloropsis são microalgas marinhas que apresentam um perfil bioquímico único, principalmente no que é respeitante a lípidos, e uma vasta gama de compostos bioativos que possibilitam a sua aplicabilidade comercial em várias áreas biotecnológicas, destacando-se a alimentação e nutrição humana, indústria cosmética e farmacêutica, produção de biocombustíveis e a sua utilização em aquacultura. Em aquacultura, são usadas maioritariamente microalgas vivas, cuja produção representa elevados custos. Tem havido assim uma pesquisa de dietas alternativas, entre as quais os concentrados de microalgas se apresentam promissores. Os desafios atuais das empresas produtoras de concentrados de microalgas prendem-se com a conservação e armazenamento destes concentrados. Assim, neste trabalho foi proposto o estudo da influência da refrigeração, congelação e adição de conservantes a PhytoBloom Green Formula®, concentrado de Nannochloropsis sp. comercializado pela empresa Necton S.A., com o objetivo de averiguar a variação de parâmetros bioquímicos e organoléticos com a exposição do concentrado aos diferentes métodos de conservação. Pretendia-se assim observar se estes processos podem ser usados para aumentar o tempo de prateleira do concentrado em estudo. Para tal, foram avaliadas amostras recolhidas em três pontos temporais e analisados os seguintes parâmetros: perfil de ácidos gordos, quantificação de hidroperóxidos lipídicos, quantificação espectrofotométrica de clorofila a e carotenóides, bem como parâmetros organoléticos. Inicialmente, foi efetuada uma avaliação de diferentes parâmetros organoléticos, não se observando variações relevantes entre amostras das diferentes condições. Assim, foi posteriormente realizada a avaliação bioquímica. Primeiramente, foi efetuada a quantificação de ácidos gordos por GC-FID das diferentes amostras, nas quais não se observou diferenças significativas entre as condições experimentais. Foi também efetuado um ensaio de FOX II, que permitiu avaliar o grau de peroxidação lipídica de cada amostra por quantificação de hidroperóxidos lipídicos formados. As amostras nas quais houve adição de conservantes apresentaram um teor menor de hidropéroxidos lipídicos, permitindo inferir que a ação dos conservantes com propriedades antioxidantes permitiu uma melhor conservação da amostra. Quando se determinou a concentração de clorofila a e de carotenóides verificou-se que, em ambos os casos, a congelação conduziu a uma estabilização da concentração destes pigmentos. No entanto, os melhores resultados foram obtidos usando a combinação de congelação com adição de conservantes. Estes resultados, embora promissores, carecem de uma confirmação por um novo estudo, completando com análises com maior rigor e sensibilidade associados, no sentido de se verificar qual o método mais vantajoso para a extensão do tempo de prateleira de PhytoBloom Green Formula®.

Degradação do perfil bioquímico de um concentrado de Nannochloropsis sp. durante o seu período de validade

As algas do género Nannochloropsis são microalgas marinhas que apresentam um perfil bioquímico único, principalmente no que é respeitante a lípidos, e uma vasta gama de compostos bioativos que possibilitam a sua aplicabilidade comercial em várias áreas biotecnológicas, destacando-se a alimentação e nutrição humana, indústria cosmética e farmacêutica, produção de biocombustíveis e a sua utilização em aquacultura. Em aquacultura, são usadas maioritariamente microalgas vivas, cuja produção representa elevados custos. Tem havido assim uma pesquisa de dietas alternativas, entre as quais os concentrados de microalgas se apresentam promissores. Os desafios atuais das empresas produtoras de concentrados de microalgas prendem-se com a conservação e armazenamento destes concentrados. Assim, neste trabalho foi proposto o estudo da influência da refrigeração, congelação e adição de conservantes a PhytoBloom Green Formula®, concentrado de Nannochloropsis sp. comercializado pela empresa Necton S.A., com o objetivo de averiguar a variação de parâmetros bioquímicos e organoléticos com a exposição do concentrado aos diferentes métodos de conservação. Pretendia-se assim observar se estes processos podem ser usados para aumentar o tempo de prateleira do concentrado em estudo. Para tal, foram avaliadas amostras recolhidas em três pontos temporais e analisados os seguintes parâmetros: perfil de ácidos gordos, quantificação de hidroperóxidos lipídicos, quantificação espectrofotométrica de clorofila a e carotenóides, bem como parâmetros organoléticos. Inicialmente, foi efetuada uma avaliação de diferentes parâmetros organoléticos, não se observando variações relevantes entre amostras das diferentes condições. Assim, foi posteriormente realizada a avaliação bioquímica. Primeiramente, foi efetuada a quantificação de ácidos gordos por GC-FID das diferentes amostras, nas quais não se observou diferenças significativas entre as condições experimentais. Foi também efetuado um ensaio de FOX II, que permitiu avaliar o grau de peroxidação lipídica de cada amostra por quantificação de hidroperóxidos lipídicos formados. As amostras nas quais houve adição de conservantes apresentaram um teor menor de hidropéroxidos lipídicos, permitindo inferir que a ação dos conservantes com propriedades antioxidantes permitiu uma melhor conservação da amostra. Quando se determinou a concentração de clorofila a e de carotenóides verificou-se que, em ambos os casos, a congelação conduziu a uma estabilização da concentração destes pigmentos. No entanto, os melhores resultados foram obtidos usando a combinação de congelação com adição de conservantes. Estes resultados, embora promissores, carecem de uma confirmação por um novo estudo, completando com análises com maior rigor e sensibilidade associados, no sentido de se verificar qual o método mais vantajoso para a extensão do tempo de prateleira de PhytoBloom Green Formula®.

Lipidomic analysis of mesenchymal cells candidates for cell therapy

Mesenchymal stromal cells are adult stem cells found mostly in the bone marrow. They have immunosuppressive properties and they have been successfully applied as biological therapy in several clinical trials regarding autoimmune diseases. Despite the great number of clinical trials, MSCs’ action is not fully understand and there are no identified markers that correlate themselves with the immunomodulatory power. A lipidomic approach can solve some of these problems once lipids are one of the major cells’ components. Therefore, in this study cells’ lipidome was analysed and its deviations were evaluated according to the medium of culture and to the presence of pro-inflammatory stimuli, mimicking physiological conditions in which these cells are used. This was the first study ever made that aimed to analyse the differences in the phospholipid profile between mesenchymal stromal cells non-stimulated and stimulated with proinflammatory stimulus. This analysis was conducted in both cells cultured in medium supplemented with animal serum and in cells cultured in a synthetic medium. In cells cultured in the standard medium the levels of phosphatidylcholine (PC) species with shorter fatty acids (FAs) acyl chains decreased under pro-inflammatory stimuli. The level of PC(40:6) also decreased, which may be correlated with enhanced levels of lysoPC (LPC)(18:0) - an anti-inflammatory LPC - observed in cells subjected to TNF-α and IFN-γ. Simultaneously, the relative amounts of PC(36:1) and PC(38:4) increased. TNF-α and IFN- γ also enhanced the levels of phosphatidylethanolamine PE(40:6) and decreased the levels of PE(38:6). Higher expression of phosphatidylserine PS(36:1) and sphingomyelin SM(34:0) along with a decrease in PS(38:6) levels were observed. However, in cells cultured in a synthetic medium, TNF-α and IFN-γ only enhanced the levels of PS(36:1). These results indicate that lipid metabolism and signaling is modulated during mesenchymal stromal cells action.

Development of infrared spectroscopy for assessing bacterial quality in foods

Rapid and specific detection of foodborne bacteria that can cause food spoilage or illness associated to its consumption is an increasingly important task in food industry. Bacterial detection, identification, and classification are generally performed using traditional methods based on biochemical or serological tests and the molecular methods based on DNA or RNA fingerprints. However, these methodologies are expensive, time consuming and laborious. Infrared spectroscopy is a reliable, rapid, and economic technique which could be explored as a tool for bacterial analysis in the food industry. In this thesis it was evaluated the potential of IR spectroscopy to study the bacterial quality of foods. In Chapter 2, it was developed a calibration model that successfully allowed to predict the bacterial concentration of naturally contaminated cooked ham samples kept at refrigeration temperature during 8 days. In this part, it was developed the methodology that allowed the best reproducibility of spectra from bacteria colonies with minimal sample preparation, which was used in the subsequent work. Several attempts trying different resolutions and number of scans in the IR were made. A spectral resolution of 4 cm-1, with 32 scans were the settings that allowed the best results. Subsequently, in Chapter 3, it was made an attempt to identify 22 different foodborne bacterial genera/species using IR spectroscopy coupled with multivariate analysis. The principal component analysis, used as an exploratory technique, allowed to form distinct groups, each one corresponding to a different genus, in most of the cases. Then, a hierarchical cluster analysis was performed to further analyse the group formation and the possibility of distinction between species of the same bacterial genus. It was observed that IR spectroscopy not only is suitable to the distinction of the different genera, but also to differentiate species of the same genus, with the simultaneous use of principal component analysis and cluster analysis techniques. The utilization of IR spectroscopy and multivariate statistical analysis were also investigated in Chapter 4, in order to confirm the presence of Listeria monocytogenes and Salmonella spp. isolated from contaminated foods, after growth in selective medium. This would allow to substitute the traditional biochemical and serological methods that are used to confirm these pathogens and that delay the obtainment of the results up to 2 days. The obtained results allowed the distinction of 3 different Listeria species and the distinction of Salmonella spp. from other bacteria that can be mistaken with them. Finally, in chapter 5, high pressure processing, an emerging methodology that permits to produce microbiologically safe foods and extend their shelf-life, was applied to 12 foodborne bacteria to determine their resistance and the effects of pressure in cells. A treatment of 300 MPa, during 15 minutes at room temperature was applied. Gram-negative bacteria were inactivated to undetectable levels and Gram-positive showed different resistances. Bacillus cereus and Staphylococcus aureus decreased only 2 logs and Listeria innocua decreased about 5 logs. IR spectroscopy was performed in bacterial colonies before and after HPP in order to investigate the alterations of the cellular compounds. It was found that high pressure alters bands assigned to some cellular components as proteins, lipids, oligopolysaccharides, phosphate groups from the cell wall and nucleic acids, suggesting disruption of the cell envelopes. In this work, bacterial quantification and classification, as well as assessment of cellular compounds modification with high pressure processing were successfully performed. Taking this into account, it was showed that IR spectroscopy is a very promising technique to analyse bacteria in a simple and inexpensive manner.